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Pagewell Skill — DSH Plugin for DeepSeek Harness
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pagewell-skill

Pagewell Skill

The PageWell skill, also a DeepSeek Harness plugin: write a designed article or a one-page artifact, check it against its template, and publish it as a link, a share code or a single HTML file.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:pagewellai/pagewell#1d7f908dd75d0407439364a576673014ecb74af4
READMECompatibilityVersions

Compatibility and provenance

Pagewell Skill is published as pagewell-skill and currently resolves to version 0.10.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
10/16/2026

Versions

0.10.0stable
10/16/2026
0.9.0stable
10/14/2026
0.8.0stable
10/12/2026
Show 1 more versionCollapse versions
0.7.0stable
10/12/2026

Related plugins

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Latest
0.10.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
Apache-2.0
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
10/16/2026
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README

pagewell

The PageWell skill for coding agents, and the CLI it drives. An agent with this skill can write a document that looks designed — an article, a report, a handbook — or a single-page interactive artifact, check it against the template's own rules, and publish it as a link: a page of its own at p.pagewell.ai/s/…, a share link, a share code, or a single HTML file that opens offline.

pagewell publish defaults to a public, searchable page with its own stable address. It does not create or join a visible Space unless you pass --space; choose --visibility unlisted|code|password for a restricted share instead.

Install the skill

One command, any agent — it finds the agents on this machine and installs into each of them:

npx skills add pagewellai/pagewell -g

By hand: this repository is the skill — SKILL.md sits at its root, the references/ next to it are what the agent loads on demand, and assets/ holds each template's screenshots and samples — so clone it into the directory your agent reads (--depth 1: the skill is a few files; the history is not):

AgentUser-levelInside a project
Claude Codegit clone --depth 1 https://github.com/pagewellai/pagewell ~/.claude/skills/pagewell.claude/skills/
Codexgit clone --depth 1 https://github.com/pagewellai/pagewell ~/.codex/skills/pagewell.agents/skills/
Cursorgit clone --depth 1 https://github.com/pagewellai/pagewell ~/.cursor/skills/pagewell.agents/skills/
Gemini CLIgit clone --depth 1 https://github.com/pagewellai/pagewell ~/.gemini/skills/pagewell.agents/skills/
GitHub Copilotgit clone --depth 1 https://github.com/pagewellai/pagewell ~/.copilot/skills/pagewell.github/skills/ or .agents/skills/
Windsurfgit clone --depth 1 https://github.com/pagewellai/pagewell ~/.codeium/windsurf/skills/pagewell.windsurf/skills/
Anything elseits skills directorymost also read .agents/skills/

You do not have to install the CLI yourself: the first time the agent needs it, SKILL.md has it run scripts/install.sh, which downloads the one binary this machine needs from the binaries branch and verifies it against SHA256SUMS before putting it on your PATH. To do it now:

~/.claude/skills/pagewell/scripts/install.sh    # or wherever the skill landed

DeepSeek Harness

This repository is also a DeepSeek Harness (dsh) plugin: package.json declares a dsh.bundle, and dsh/index.js registers this same SKILL.md with dsh's skill registry. There is no second copy of the instructions, no build step and nothing to configure.

dsh plugin --profile web add github:pagewellai/pagewell        # the web UI
dsh plugin --profile desktop add github:pagewellai/pagewell    # the desktop app, with the dsh command it installs

Or install github:pagewellai/pagewell from the Plugins page. The pagewell skill then appears in the agent's skill catalog: ask for an article, a page or a link, or type /pagewell.

Installed the skill with npx skills add pagewellai/pagewell -g already? dsh reads ~/.agents/skills as well, so it has the skill without the plugin; with both, dsh uses the ~/.agents/skills copy.

Under dsh's default workspace-write sandbox, writing, checking, previewing, exporting and publishing run as they are. Signing in, pagewell upgrade, installing the CLI and adding a template write to your home directory (~/.config/pagewell, ~/.local/bin, ~/.cache/pagewell), so the agent asks to run that one command outside the sandbox: approve it in dsh, then approve the device code in your browser. To update, run the command pagewell doctor names (dsh plugin --profile <profile> add github:pagewellai/pagewell), or update PageWell from the Plugins page.

Updating

Every activation starts with a read-only check for both halves:

pagewell doctor --json --skill-version v0.10.0

If either half is behind, the JSON includes the exact next command. The manual commands are:

pagewell upgrade                  # the CLI: downloads, verifies, and swaps the current binary
npx skills update pagewell -g -y  # the skill text installed globally with npx skills
pagewell upgrade --check          # just say whether there is a newer CLI version

Installed by git clone instead? pagewell upgrade fast-forwards that clone and re-runs its installer, so text and binary move together. Installed with npx skills? pagewell upgrade swaps the binary and reminds you to run npx skills update pagewell -g -y for the text. A copy installed with the one-line curl below has no skill on disk — upgrade then replaces the binary only and says so.

You do not have to remember to check. The skill runs doctor before each task and passes its own published version, so update covers the CLI and skill_update covers SKILL.md plus its references. Every later command that talks to pagewell.ai also learns the current CLI version from the response; a newer one is mentioned once a day on stderr — never on stdout, so --json stays clean. Set PAGEWELL_NO_UPDATE_NOTICE=1 to silence that later reminder.

Older versions keep working: the API only ever adds fields, and the server never refuses a request because of the CLI's version. When a version is older than the oldest one we still support, the reminder becomes insistent (every run, update.required in doctor) but nothing breaks.

Releases

Every publish is a release with a semver tag, here and on the source repository: vMAJOR.MINOR.PATCH. A patch bump is fixes and text; a minor bump adds commands, flags or fields; a major bump is reserved for the day an old CLI genuinely cannot be served — there has been none. main is always the latest release and git checkout v0.3.1 gives you the skill text published under that number. The binaries live on the binaries branch, which always holds the current release only. What changed is in CHANGELOG.md; where it came from is in MANIFEST and version.json.

Install only the CLI

curl -fsSL https://raw.githubusercontent.com/pagewellai/pagewell/main/scripts/install.sh | bash

The installer reads uname, downloads the matching binary from the binaries branch, verifies it against SHA256SUMS, and only then makes it executable. Nothing else is downloaded and nothing is compiled.

PlatformBinarySize
darwin/amd64pagewell_darwin_amd6415M
darwin/arm64pagewell_darwin_arm6415M
linux/amd64pagewell_linux_amd6415M
linux/arm64pagewell_linux_arm6414M
windows/amd64pagewell_windows_amd64.exe15M
windows/arm64pagewell_windows_arm64.exe14M

First run

pagewell doctor                       # installed? reachable? signed in?
pagewell templates list               # the templates there are
pagewell templates use article -o draft.md
pagewell check draft.md               # the template's own rules, offline
pagewell preview                      # the page as it will render, offline
pagewell auth login                   # a device code; approve it in your browser
pagewell publish draft.md             # one link back

Writing, checking, previewing and exporting need no account and no network. Publishing puts the page, with its images, in your Documents — never in a Space unless you name one — and needs you signed in. Without an account, pagewell publish --anonymous makes a link that disappears after 24 hours; the agent asks you which you want. It never approves the device code or completes a payment for you — both happen in your own browser.

Send an article to X

pagewell x draft article.md --dry-run   # what X would get, offline, on any plan
pagewell x connect                      # once: a link the user opens to allow PageWell on X
pagewell x draft article.md             # an X Article draft in the user's account

Headings, lists, quotes, images, code blocks, tables and $$ formulas become X's own blocks; what X has no block for (charts, diagrams, embeds) is approximated or left out, and the JSON says which. PageWell only creates the draft — it never publishes; the author does that on X. Sending needs PageWell Pro, and X itself only offers Articles to Premium accounts. The agent prints the connect link for the user and never approves it.

Where things are explained

SKILL.mdthe whole normal flow, written for the agent
references/cli.mdevery command, flag and JSON shape
references/errors.mdthe error codes (a fixed enum, never translated)
references/templates.mdpicking, writing and changing a template
CHANGELOG.mdwhat each release changed
pagewell.ai/docsthe product documentation
pagewell.ai/pricingplans and limits